Lead, Inflammation and Immunology Analytics

Job Description

We are seeking a dynamic analytics leader to join the Gastroenterology, Inflammation and Immunology (GI²) Commercial Analytics and Insight (CA&I) organization as the Lead of Immunology Analytics.

The Lead of Immunology Analytics serves as the strategic analytics leader for the Dermatology franchise for both PsO and PsA. This role drives data‑driven decision making across launch planning, brand strategy, patient analytics, field optimization, and performance measurement. The director partners closely with Marketing, Market Access, Forecasting, Data Sciences, Medical, Finance, and Field Leadership to shape commercial strategy for both in‑market and pipeline assets.

This is a high‑visibility role requiring deep therapeutic understanding for both PsO and PsA, strong business acumen, extensive knowledge of available datasets, and the ability to translate complex analytics into clear, actionable insights.

• Leverage deep knowledge in analytics, including expertise in datasets like patient‑level claims, sales, patient access and EMR data, to establish and drive analytic solutions for our Immunology product portfolio.
• Foster supportive analytics to inform strategic choices and investments for a broad portfolio of in‑line and pipeline products.
• Coach the team to build insightful, creative, and continuously improving strategic deliverables to the brand, sales, and market access teams, along with other key stakeholders across the GI² Business Unit.
• Oversee and provide analytical support for the impacts of insights (brand, sales, access and account analytics), in partnership with the advanced analytics, forecasting and data COE to support informed decision‑making across the Immunology portfolio.
• Proactively identify business questions – e.g., market trends, product performance, marketing campaign development (provider, health systems and consumer), performance, market access analytics, sales force organization design, dynamic targeting, next‑best action – and determine the optimal approach to answer them through data and analytics.
• Bring a consultative approach to partnering with stakeholders to validate the business opportunity and develop a strategy based on analytic insights.

• Bachelor’s Degree required; advanced degree (Master’s in business, analytics, marketing, data science or engineering) preferred.
• 8+ years of progressively responsible experience for analytics, data‑driven decision making, management consulting or related functional experience within the biopharmaceutical industry required.
• Immunology experience highly preferred.
• Familiarity with Artificial Intelligence and implementation of GenAI solutions required.
• Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high‑performance levels required.
• Demonstrated ability to integrate insights and translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues and mitigate risks.
• Demonstrated ability to create an environment that inspires and enables people to move the organization forward.
• Expert in delivering persuasive presentations and mentoring others in presentation skills.
• Proficient in the use of business intelligence tools to support data‑driven decisions.
• Proven experience leading and developing analytics teams, driving strategic initiatives, and managing cross‑functional projects.
• In‑depth knowledge of healthcare analytics, including experience with patient‑claims data, market access and sales analytics.
• Experience managing complex projects with a demonstrated ability to meet deadlines and goals.
• Strong proficiency in statistical analysis and data visualization techniques.
• Predictive modelling skills a plus.
• Expertise in analytics tools and programming languages (e.g., Python, R, SQL, SAS, Tableau, Power BI).
• Vendor and budget management.
• Excellent communication and collaboration skills, fostering strong relationships across departments.
• Ability to identify challenges and develop innovative solutions through data‑driven approaches.
• Flexibility to…